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Campus Challenge Group 6

Last Login: 06/05/2025


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-20.8%
since 12/27/2024

-12.7%
Ø-Perf. per year

-9.3%
Performance (1yr)

21.2%
Volatility (1yr)

-0.6
Return/Risk



Portfolio chart

Details
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Trading Idea

Our trading idea focuses on investing in S&P 500 companies, utilizing machine learning techniques like Random Forest to analyze features such as price, market value, earnings, and volatility. We aim to optimize portfolio allocation using the Markowitz model, ensuring a balanced risk-return strategy. The investment period will be 3 months, aligning with our systematic approach. Decision-making will be driven by data sourced from Refinitiv, supported by academic insights and financial analyses for well-informed and precise strategies.

Master data

Symbol

WF00GROUP6

Date created

12/27/2024

Index level

-

High watermark

84.9

Investment Universe

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For the composition of the virtual portfolio click here.